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1、2C.C.DOUGLASETALUSINGAVIRTUALTELEMETRYMETHODOLOGYFORDYNAMICDATA-DRIVENAPPLICATIONSIMULATIONSa,baccC.C.DOUGLAS,C.SHANNON,Y.EFENDIEV,R.E.EWING,V.ccdddGINTING,R.LAZAROV,M.J.COLE,G.M.JONES,C.R.JOHNSON,J.dSIMPSONaComputerScienceDepartment,UniversityofKentucky,Lex
2、ington,KY40506-0045,USAbComputerScienceDepartment,YaleUniversity,NewHaven,CT06520-8285,USAcInstituteforScientificComputation,TexasA&MUniversity,CollegeStation,TX77843-3404,USAdScientificComputingandImagingInsistute,UniveristyofUtah,SaltLakeCity,UT84112,USAAb
3、stract.Wedescribeavirtualtelemetrysystemthatallowsustodeviseandaugmentdynamicdata-drivenapplicationsimulations(DDDAS).Virtualtelemetryhastheadvantagethatitisinexpensivetoproducefromrealtimesimulationsandreadilytransmittableusingopensourcestreamingsoftware.Re
4、altelemetryisusuallyexpensivetoreceive(ifitisevenavailablelongterm),tendstobemessy,comesinnoparticularorder,andcanbeincompleteorerroneousduetotransmissionproblemsorsensormalfunction.Wecangeneratemultiplestreamscontinuouslyforextendedperiods(e.g.,monthsoryear
5、s):cleandata,somewhaterrorpronedata,andquitelossyorinaccuratedata.BystudyingallofthestreamsatoncewewillbeabletodeviseDDDAScomponentsusefulinpredictivecontaminantmodeling.AvirtualtelemetrymoduleisnowpartoftheSCIRunproblemsolvingenvironment.Keywords.DDDAS,midd
6、leware,sensors,datastreaming,problemsolvingenvironments,contaminanttransport,porousmedia,multiscale.1.INTRODUCTIONWehaveimmensecomputingpoweravailableatthenationalsupercomputercentersandlocalclustersoffastPCs.Wealsohavehadaproliferationofdataacquisitionandge
7、nerationthroughthedeploymentofsophisticatednewgenerationsofsensors.Thelackofcoordinationbetweencurrentcomputationalcapacityandsensortechnologyimpairsourabilitytoeffectivelyutilizethecontinuousfloodofinformationavailable.Thisisasubstantialbarriertoachievingth
8、epotentialbenefitcomputationalsciencecandelivertomanyapplicationareasincludingcontaminanttracking,whichisthetargetapplicationareaofthisproject.Toaddressthiscurrentstatewehaveidentifiedfourrelati